https://openalex.org/T12535
This cluster of papers focuses on the challenges and techniques for learning with noisy labels in machine learning, including methods for hyperparameter optimization, instance selection, robust learning, and automated machine learning. It also explores the use of meta-learning and deep neural networks in handling noisy label problems, particularly in the context of classification tasks and learning from positive and unlabeled data.
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rdfs:label "Learning with Noisy Labels in Machine Learning"@en ;
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skos:definition "This cluster of papers focuses on the challenges and techniques for learning with noisy labels in machine learning, including methods for hyperparameter optimization, instance selection, robust learning, and automated machine learning. It also explores the use of meta-learning and deep neural networks in handling noisy label problems, particularly in the context of classification tasks and learning from positive and unlabeled data."@en ;
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skos:prefLabel "Learning with Noisy Labels in Machine Learning"@en ;
openalex:cited_by_count 548331 ;
openalex:works_count 23319 .